Rogasch Kathrin, Rühmling Vanessa, Pané-Farré Jan, Höper Dirk, Weinberg Christin, Fuchs Stephan, Schmudde Mareike, Bröker Barbara M, Wolz Christiane, Hecker Michael, Engelmann Susanne
Institut für Mikrobiologie, Ernst-Moritz-Arndt-Universität, F.-L.-Jahn-Strasse 15, D-17487 Greifswald, Germany.
J Bacteriol. 2006 Nov;188(22):7742-58. doi: 10.1128/JB.00555-06.
The two-component system SaeRS consisting of the histidin kinase SaeS and the response regulator SaeR is known to act on virulence gene expression in Staphylococcus aureus. In order to get a more comprehensive picture on SaeR-regulated genes, we studied the contribution of the two-component system on global gene expression by using both the proteomic and transcriptomic approach. Altogether, a loss of SaeRS resulted in a decreased amount of at least 17 extracellular proteins and two cell surface-associated proteins, among them several important virulence factors such as HlgA, HlgB, HlgC, LukF, and LukM. SaeRS activates the expression of these genes at the transcriptional level. The amount of the five proteins Aur, SspA, SsaA, Plc, and GlpQ was negatively influenced by SaeRS. However, the transcription of the corresponding genes was not affected by the two-component system. SaeRS had also no measurable influence on the transcription of the regulatory genes agr, sarA, arlRS, and sigB that contribute to the regulation of SaeRS-dependent virulence factors identified in this investigation. Our results clearly show that SaeRS is strongly involved in the tight temporal control of virulence factor expression in S. aureus. Its precise role within the regulatory network remains to be determined.
由组氨酸激酶SaeS和反应调节因子SaeR组成的双组分系统SaeRS已知可作用于金黄色葡萄球菌的毒力基因表达。为了更全面地了解SaeR调控的基因,我们通过蛋白质组学和转录组学方法研究了双组分系统对全局基因表达的贡献。总体而言,SaeRS缺失导致至少17种细胞外蛋白和两种细胞表面相关蛋白的量减少,其中包括几种重要的毒力因子,如HlgA、HlgB、HlgC、LukF和LukM。SaeRS在转录水平上激活这些基因的表达。Aur、SspA、SsaA、Plc和GlpQ这五种蛋白的量受到SaeRS的负面影响。然而,相应基因的转录不受双组分系统的影响。SaeRS对本研究中鉴定的参与SaeRS依赖性毒力因子调控的调节基因agr、sarA、arlRS和sigB的转录也没有可测量的影响。我们的结果清楚地表明,SaeRS强烈参与金黄色葡萄球菌毒力因子表达的严格时间控制。其在调控网络中的精确作用仍有待确定。